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Bioconductor: open software development for computational biology and bioinformatics
TLDR
Details of the aims and methods of Bioconductor, the collaborative creation of extensible software for computational biology and bioinformatics, and current challenges are described. Expand
Simultaneous inference in general parametric models.
TLDR
This paper describes simultaneous inference procedures in general parametric models, where the experimental questions are specified through a linear combination of elemental model parameters, and extends the canonical theory of multiple comparison procedures in ANOVA models to linear regression problems, generalizedlinear models, linear mixed effects models, the Cox model, robust linear models, etc. Expand
Unbiased Recursive Partitioning: A Conditional Inference Framework
Recursive binary partitioning is a popular tool for regression analysis. Two fundamental problems of exhaustive search procedures usually applied to fit such models have been known for a long time:Expand
BOOSTING ALGORITHMS: REGULARIZATION, PREDICTION AND MODEL FITTING
We present a statistical perspective on boosting. Special emphasis is given to estimating potentially complex parametric or nonparametric models, including generalized linear and additive models asExpand
Bias in random forest variable importance measures: Illustrations, sources and a solution
TLDR
An alternative implementation of random forests is proposed, that provides unbiased variable selection in the individual classification trees, that can be used reliably for variable selection even in situations where the potential predictor variables vary in their scale of measurement or their number of categories. Expand
Diagnostic Checking in Regression Relationships
TLDR
A rich variety of diagnostic tests for these situations have been developed in the econometrics community, a collection of which has been implemented in the packages lmtest and strucchange covering the problems mentioned above. Expand
Exploratory Factor Analysis
In many areas of psychology, and other disciplines in the behavioural sciences, often it is not possible to measure directly the concepts of primary interest. Two obvious examples are intelligenceExpand
Implementing a Class of Permutation Tests: The coin Package
TLDR
A computational framework is established in coin that likewise embeds the corresponding R functionality in a common S4 class structure with associated generic functions, inherit the flexibility of the underlying theory and conditional inference functions for important special cases can be set up easily. Expand
Multiple Comparisons Using R
Introduction General Concepts Error rates and general concepts Construction methods Methods based on Bonferroni's inequality Methods based on Simes' inequality Multiple Comparisons in ParametricExpand
Model-Based Recursive Partitioning
Recursive partitioning is embedded into the general and well-established class of parametric models that can be fitted using M-type estimators (including maximum likelihood). An algorithm forExpand
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